197 citations · 365 across the 5 of their papers we have counts for
5 papers
Learning Hierarchical Features for Visual Object Tracking with Recursive Neural Networks
Li Wang, Ting Liu, Bing Wang +2
Recently, deep learning has achieved very promising results in visual object tracking. Deep neural networks in existing tracking methods require a lot of training data to learn a l…
Joint Learning of Siamese CNNs and Temporally Constrained Metrics for Tracklet Association
Bing Wang, Li Wang, Bing Shuai +4
In this paper, we study the challenging problem of multi-object tracking in a complex scene captured by a single camera. Different from the existing tracklet association-based trac…
Deep Learning Algorithms with Applications to Video Analytics for A Smart City: A Survey
Li Wang, Dennis Sng
Deep learning has recently achieved very promising results in a wide range of areas such as computer vision, speech recognition and natural language processing. It aims to learn hi…
Video Tracking Using Learned Hierarchical Features
Li Wang, Ting Liu, Gang Wang +2
In this paper, we propose an approach to learn hierarchical features for visual object tracking. First, we offline learn features robust to diverse motion patterns from auxiliary v…
Tracklet Association by Online Target-Specific Metric Learning and Coherent Dynamics Estimation
Bing Wang, Gang Wang, Kap Luk Chan +1
In this paper, we present a novel method based on online target-specific metric learning and coherent dynamics estimation for tracklet (track fragment) association by network flow…